I am a data scientist/data modeler. I work with data to extract user-friendly information. Applying the rules of statistics and probability I write computer code that weaves together different datasets and then accesses, cleans, and processes the raw data in order to reveal the value within.

Data Scientist @ From June 2015 to Present (7 months) Data Scientist @ Utilized econometric and machine learning algorithms to analyze auditing and financial data, and develop tools to improve audit efficiency. Designed and implemented frameworks for model validation, including Monte Carlo simulation methods. Advised clients on statistical and methodological issues and make recommendations. Supervised junior members of Data Science team. Conducted trainings for Data Science team on statistical and programming topics. From August 2014 to June 2015 (11 months) Research Scientist IV @ Developed statistical matching algorithms for data imputation, including predictive mean and predictive neighborhood matching programs. Developed and tested methods for estimating standard errors on complex survey datasets with imputed variables. Compiled administrative data from the NYC Enterprise Data Warehouse (EDW). Presented research results at conferences and meetings with researchers and policymakers. Awarded research grant from the Institute for Research on Poverty at the University of Wisconsin-Madison to conduct research on the impact of the SNAP program on poverty. From March 2009 to July 2014 (5 years 5 months) Adjunct Lecturer @ Courses Taught: Microeconomic Theory Fundamentals of Empirical Research in Economics From May 2013 to May 2014 (1 year 1 month) New York, New YorkResearch Analyst @ Ran regression analyses to ascertain the determinants of school climate and its relationship to school-level indicators such as academic performance and drop-out rates. Analyzed survey data from the Comprehensive School Climate Inventory (CSCI) using statistical methods such as exploratory and confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. Managed, cleaned and analyzed large datasets. Developed and refined survey questions. Collaborated with Communications Department to disseminate data to school districts and other relevant clients. From December 2007 to March 2009 (1 year 4 months)

Doctor of Philosophy (Ph.D.), Econometrics and Quantitative Economics @ New School University From 2008 to 2013 Master's Degree, International Political Economy and Development; International and Development Economics @ Fordham University From 2006 to 2008 Bachelor's Degree, Government and International Relations @ Clark University From 2001 to 2005 Daniel Scheer is skilled in: Statistics, Econometrics, Machine Learning, Data Analysis, Python, R, SPSS, Research, Policy Analysis, Editing, Microsoft Excel, Gretl